S Carrel

6.4k citations
110 papers · 4.9k indexed · 1 hit paper · h-index 37

S Carrel

109 papers receiving 4.5k citations

Hit Papers

Vβ-Specific Stimulation of Human T Cells by Staphylococca...6111989202620012013200400600

Peers

S Carrel
Comparison fields: 5 of 111
  • Radiology, Nuclear Medicine and Imaging 2.4k
  • Immunology 2.2k
  • Immunology and Allergy 435
  • Oncology 1.2k
  • Molecular Biology 1.6k
Replace Maria I. Colnaghi with:
Maria I. Colnaghi Italy
P J Capel Netherlands
S F Schlossman United States
Edward E. Max United States
Rebecca E. Hussey United States
E L Reinherz United States
Marilyn R. Kehry United States
Marina Fabbi Italy
Christoph Wagener Germany
Robert L. Shields United States
S Carrel relative to Maria I. Colnaghi Italy Maria I. Colnaghi's profile →
Citations per field
00.5×1.5×
Maria I. Colnaghi · 1×
Citations per year

Countries citing papers authored by S Carrel

Since Specialization
Citations

This map shows the geographic impact of S Carrel's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by S Carrel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S Carrel more than expected).

Fields of papers citing papers by S Carrel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S Carrel. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by S Carrel. The network helps show where S Carrel may publish in the future.

Co-authorship network

The 25 scholars most cited alongside S Carrel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with S Carrel Line = papers co-authored together S Carrel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 199515
2 199336
3 199391
4 199318
5 199110
6 19912
7 19903
8 198955
9 198924
10 19898
11 198947
12
Vβ-Specific Stimulation of Human T Cells by Staphylococcal Toxinsbreakdown →
1989611
13 19887
14 198833
15 19861
16 1983213
17 198227
18 1982113
19
[Anti-tumor antibodies in the blood of patients with gliomas].
19783
20 19727

About S Carrel

S Carrel is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology, Immunology and Allergy, Oncology and Molecular Biology, having authored 110 papers that have together received 4.9k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (68 papers), Immunotherapy and Immune Responses (37 papers), T-cell and B-cell Immunology (32 papers), Radiopharmaceutical Chemistry and Applications (25 papers), Glycosylation and Glycoproteins Research (20 papers), Cell Adhesion Molecules Research (14 papers), CAR-T cell therapy research (12 papers) and Immune Cell Function and Interaction (12 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (2.4k citations), Immunology (2.2k citations), Immunology and Allergy (435 citations), Oncology (1.2k citations) and Molecular Biology (1.6k citations). S Carrel has collaborated with scholars based in Switzerland, Belgium and United Kingdom. Frequent co-authors include Roberto S. Accolla, J.-P. Mach, Magali Schreyer, Nicolas de Tribolet, Jean‐Pierre Mach, F. Buchegger, Laura Giuffrè, Arthur W. Boylston, Nicole Groß and C. Berche. Their work appears in journals such as International Journal of Cancer, European Journal of Immunology, The Journal of Immunology, Cancer and Proceedings of the National Academy of Sciences.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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